Bayesian linear regression

Bayesian linear regression

Playing 1/13
  • Bayesian Linear Regression

    YouTube 00:16
  • A GUIded tour of Bayesian regression

    YouTube 03:32
  • Bayesian Linear Regression

    YouTube 02:14
  • Bayesian regression - Bayesian Statistics

    YouTube 01:01
  • Revision Bayesian Linear Regression

    YouTube 03:03
  • Understanding the Normal Distribution [Statistics Tutorial]

    YouTube 03:54
  • Gamma Function

    YouTube 02:05
  • Linear Regression Explained Simply

    YouTube 02:58
  • Ordinary Least Squares regression or Linear regression

    YouTube 02:10
  • What is Bayesian Statistics

    YouTube 02:24
  • What is Likelihood? (And why do we care?)

    YouTube 02:12
  • CONJUGATE PRIOR for BINOMIAL LIKELIHOOD Multiple Observations | Bayesian Statistics

    YouTube 03:00
  • Prior And Posterior - Intro to Statistics

    YouTube 02:20

In statistics, Bayesian linear regression is an approach to linear regression in which the statistical analysis is undertaken within the context of Bayesian inference. When the regression model has errors that have a normal distribution, and if a particular form of prior distribution is assumed, explicit results are available for the posterior probability distributions of the model's parameters.

Discover in context

This site is not available in the landscape mode.
Please rotate your phone or install our app.